World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
88
Citations
42812
World Ranking
666
National Ranking
356

Jerry L. Prince publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jerry L. Prince sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 656 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jerry L. Prince D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jerry L. Prince sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 88 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jerry L. Prince is affiliated with Johns Hopkins University in the United States. Their research primarily focuses on the fields of medicine and computer science, with a significant concentration in radiology, nuclear medicine and imaging, computer vision and pattern recognition, neurology, artificial intelligence, and biomedical engineering.

Their work includes investigations in advanced neuroimaging techniques and applications, advanced MRI techniques and applications, medical image segmentation techniques, advanced image processing techniques, multiple sclerosis research studies, medical imaging techniques and applications, as well as fetal and pediatric neurological disorders.

Frequent collaborators include Aaron Carass, Blake E. Dewey, Lianrui Zuo, Peter A. Calabresi, and Jiachen Zhuo.

Jerry L. Prince has published extensively in several venues, with numerous papers appearing in arXiv (Cornell University), Proceedings of the IEEE, Lecture Notes in Computer Science, Proceedings of the International Society for Magnetic Resonance in Medicine meeting and exhibition, and The Journal of the Acoustical Society of America.

Selected recent papers include:

  • Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis, 2020, Scientific Reports
  • Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN, 2020, IEEE Transactions on Medical Imaging
  • SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning, 2020, IEEE Transactions on Medical Imaging
  • Structured layer surface segmentation for retina OCT using fully convolutional regression networks, 2020, Medical Image Analysis
  • Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory, 2021, NeuroImage

Best Publications

  • Snakes, shapes, and gradient vector flow

    Chenyang Xu;J.L. Prince

  • Current methods in medical image segmentation.

    Dzung L. Pham;Chenyang Xu;Jerry L. Prince

  • A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  • Gradient vector flow: a new external force for snakes

    Chenyang Xu;J.L. Prince

  • Adaptive fuzzy segmentation of magnetic resonance images

    D.L. Pham;J.L. Prince

  • Generalized gradient vector flow external forces for active contours

    Chenyang Xu;Jerry L. Prince

  • Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects.

    Hans W. Müller-Gärtner;Jonathan M. Links;Jerry L. Prince;Robert 'Nick' Bryan

  • Cardiac motion tracking using cine harmonic phase (harp) magnetic resonance imaging

    Jerry L. Prince;Nael F. Osman

  • Medical Imaging Signals and Systems

    Jerry L Prince;Jonathan M Links

  • An adaptive fuzzy C -means algorithm for image segmentation in the presence of intensity inhomogeneities

    Dzung L. Pham;Jerry L. Prince

  • A topology preserving level set method for geometric deformable models

    Xiao Han;Chenyang Xu;J.L. Prince

  • A Survey of Current Methods in Medical Image Segmentation

    Dzung L. Pham;Chenyang Xu;Jerry L. Prince

  • Image Segmentation Using Deformable Models

    Dzung L. Pham;Chenyang Xu;Jerry L. Prince

  • Imaging heart motion using harmonic phase MRI

    N.F. Osman;E.R. McVeigh;J.L. Prince

  • Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT.

    Junguo Bian;Jeffrey H Siewerdsen;Xiao Han;Emil Y Sidky

  • On the relationship between parametric and geometric active contours

    Chenyang Xu;A. Yezzi;J.L. Prince

  • A computerized approach for morphological analysis of the corpus callosum.

    Christos Davatzikos;Marc Vaillant;Susan M. Resnick;Jerry L. Prince

  • Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T.

    Bennett A. Landman;Jonathan A.D. Farrell;Jonathan A.D. Farrell;Craig K. Jones;Craig K. Jones;Seth A. Smith;Seth A. Smith

  • Longitudinal changes in cortical thickness associated with normal aging.

    Madhav Thambisetty;Jing Wan;Aaron Carass;Yang An

  • An active contour model for mapping the cortex

    C.A. Davatzikos;J.L. Prince

  • Tag and contour detection in tagged MR images of the left ventricle

    M.A. Guttman;J.L. Prince;E.R. McVeigh

Frequent Co-Authors

Aaron Carass
Aaron Carass Johns Hopkins University
Dzung L. Pham
Dzung L. Pham Henry M. Jackson Foundation
Peter A. Calabresi
Peter A. Calabresi Johns Hopkins University School of Medicine
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Chenyang Xu
Chenyang Xu Princeton University
Pierre-Louis Bazin
Pierre-Louis Bazin University of Amsterdam
Susan M. Resnick
Susan M. Resnick National Institutes of Health
Daniel S. Reich
Daniel S. Reich National Institutes of Health
Jeffrey H. Siewerdsen
Jeffrey H. Siewerdsen The University of Texas MD Anderson Cancer Center
Peter C.M. van Zijl
Peter C.M. van Zijl Kennedy Krieger Institute

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of online degrees and career pathways. Many students consider the data science learning path as it combines computer science, statistics, and domain expertise, leading to roles in tech, finance, and healthcare.

Another in-demand option is an online master’s in electrical engineering degree. This flexible program can help graduates advance in areas like robotics, telecommunications, and hardware design—all of which rely heavily on computer science foundations.

For those seeking short-term credentials, pursuing certificate programs that pay well is a practical choice. These programs can quickly boost your skills in high-demand specialties such as cybersecurity, cloud computing, or data analytics.

Time is often a concern, especially for working professionals. If earning a degree quickly is a priority, you might explore the fastest online master’s degree options. These accelerated programs deliver advanced knowledge in a fraction of the traditional timeframe, helping you enter or advance in the job market faster.

Best Scientists Citing Jerry L. Prince

Trending Scientists

Recently Published Articles